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Newsela via Greenhouse

Contractor: Lead Analytics Engineer

lead ArgentinaBrazilChileCosta Rica
still open verified 15h ago posted 49d ago checked 3h ago
Apply at job-boards.greenhouse.io

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 15h ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 49d ago

The date the source published, not the day we noticed it (2026-07-27). Last seen at its source 3h ago.

Is it remote?

Remote - Argentina; Brazil;Chile; Costa Rica

That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.

Who may apply?

Argentina, Brazil, Chile, Costa Rica

The description states no restriction of its own. This is the source's own tag.

Pay not stated

Similar roles pay $4,950–6,875/mo

Middle 50% of 15 listings that do state pay — Engineering · all levels · Argentina · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

AWSAirflowCode ReviewGCPGitIncident ManagementPythonSQLTableauTerraformTest Automationdbt

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

Why You'll Love This Role: 

In this role, you will have the opportunity to directly shape our data ecosystem by building robust pipelines and applying modern software engineering principles like version control and automated testing. You’ll work closely with key stakeholders to drive data-driven decision-making, lead high-impact initiatives, and manage large-scale infrastructure and automation. 

You will lead and mentor junior engineers and set the technical direction for the analytical team. If you thrive on transforming complex data into reliable, actionable insights while building scalable analytics systems, this position offers the ideal platform to showcase and expand your expertise. 

What You'll Be Doing:

  • Set the technical direction for the analytics team (architecture, conventions, approach).
  • Raise the technical floor through code review, design reviews, and pairing, holding a consistent bar for what ships.
  • Own the architecture of our data models, with accountability for long-term maintainability rather than just the models you write yourself.
  • Own the semantic layer, metric definitions, and governed self-service, so stakeholders can answer their own questions correctly.
  • Act as the primary technical partner to Product, Finance, Marketing, and Engineering, translating what they need into a roadmap the team can execute.
  • Negotiate scope directly with stakeholders.
  • Drive a cadence of proactive analysis so the team surfaces questions the business hasn't asked, rather than waiting for tickets.
  • Define the team's data testing strategy and govern how business logic is validated across the analytics layer.
  • Own the operational health of the analytics layer (monitoring, alerting, incident response, and release readiness for what the team ships).
  • Mentor the engineers around you and build shared understanding through documentation and technical presentations.
  • Lead large-scale migrations and performance efforts, setting the approach and enabling the team to execute rather than executing alone.

 About You:

  • 8+ Years experience working with data in a software environment. 
  • Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and  data integrity testing frameworks. Experience with dbt orchestration and best practices.
  • You have a track record of working autonomously and proactively, with deep domain knowledge of data systems.
  • Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.
  • Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.

Why you’ll love working at Newsela:

  • Make A Difference: No matter your role or department, the work you do each day helps share the future of education and improves the lives of students and teachers.

All offers of employment are contingent upon the successful completion of a background check as part of our pre-employment process.

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

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Apply at job-boards.greenhouse.io